Making images real again: A comprehensive survey on deep image composition
As a common image editing operation, image composition aims to combine the foreground
from one image and another background image, resulting in a composite image. However …
from one image and another background image, resulting in a composite image. However …
A survey of synthetic data augmentation methods in machine vision
A Mumuni, F Mumuni, NK Gerrar - Machine Intelligence Research, 2024 - Springer
The standard approach to tackling computer vision problems is to train deep convolutional
neural network (CNN) models using large-scale image datasets that are representative of …
neural network (CNN) models using large-scale image datasets that are representative of …
Mmnet: multi-collaboration and multi-supervision network for sequential deepfake detection
Advanced manipulation techniques have provided criminals with opportunities to make
social panic or gain illicit profits through the generation of deceptive media, such as forgery …
social panic or gain illicit profits through the generation of deceptive media, such as forgery …
Image synthesis via adversarial geometric consistency pursuit
X Li, G Teng, P An, HY Yao - Signal Processing: Image Communication, 2021 - Elsevier
Realistic image synthesis is a class of vision problems where the goal is to synthesize new
images by fusing a source image and a target image. It is a challenging problem due to the …
images by fusing a source image and a target image. It is a challenging problem due to the …
A survey of synthetic data augmentation methods in computer vision
A Mumuni, F Mumuni, NK Gerrar - arXiv preprint arXiv:2403.10075, 2024 - arxiv.org
The standard approach to tackling computer vision problems is to train deep convolutional
neural network (CNN) models using large-scale image datasets which are representative of …
neural network (CNN) models using large-scale image datasets which are representative of …